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Data Visualization Applications

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SW672, Section 001

In an era of evidence based practice, community workers, advocates, and evaluators will likely find that they need to interpret and visualize data from a wide variety of sources. Understanding, interpreting and visualizing data (including some basic coding) can make the difference in successfully or unsuccessfully advocating for communities, clients or programs, and for understanding the impact of programs on clients. Increasingly, data relevant to community, participant and client well-being are available from a broad range of sources, whether those be databases of volunteers and donors, the Census, the World Bank, in addition to many others. This course will be focused on the acquisition of concrete applicable skills and strategies for interpreting and visualizing community data, including learning in R, Tableau and QGIS. Some learning of basic coding in R will be involved in this course.

Semester: Winter 2022
Instructor: Brian E. Perron
U-M Class #: 36784
Program Type: Residential
Format: In-Person
Credits: 3 Credit Hours

Pathway Associations

Community Change
Interpersonal Practice
Mgmt & LeadershipElective
Policy & PoliticalElective
Program EvaluationElective (Host)
Older Adults
Children & Families

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